The field of public health informatics has undergone significant evolution in recent years, and advancements in technology and its applications are imperative to address emerging public health challenges. Interdisciplinary approaches and training can assist with these challenges. In 2023, the inaugural Public Health Informatics and Technology (PHIAT) Conference was established as a hybrid 3-day conference at the University of California, San Diego, and online. The conference\'s goal was to establish a forum for academics and public health organizations to discuss and tackle new opportunities and challenges in public health informatics and technology. This paper provides an overview of the quest for interest, speakers and topics, evaluations from the attendees, and lessons learned to be implemented in future conferences.

UNASSIGNED: To examine the influences of psychosocial work conditions on mental health risk and intention to leave the public sector among workers of public health agencies in Taiwan.
UNASSIGNED: We surveyed 492 public health workers in March 2022 during the COVID-19 pandemic. Information on job demands, job control, workplace justice, experiences of workplace violence and its type and origin, and mental health status (assessed by the 5-item Brief Symptom Rating Scale, BSRS-5) was obtained. Of them, 192 participated in a follow-up survey conducted in May 2023 that assessed mental health status, employment changes, and intention to leave.
UNASSIGNED: In the initial survey, 32.93% of participants reported poor mental health status, defined by having a score of BSRS-5 ≧ 10, and 48.17% experienced some form of workplace violence over the past year. Notably, high psychosocial job demands (OR = 3.64, 95% CI = 1.93-6.87), low workplace justice (OR = 2.58, 95% CI = 1.45-4.58), and workplace violence (OR = 2.38, 95% CI = 1.51-3.77) were significantly associated with increased risk of mental disorders. Among those who participated in the follow-up survey, 22.40% had persistent poor mental health, and 30.73% considered leaving or have left the public sector. Longitudinal analyses indicated that job demands predicted persistent mental disorders and intention to leave the public sector, and the experience of workplace violence added additional mental health risks.
UNASSIGNED: The public health workforce is crucial for effective and resilient public health systems. Our findings that public health workers were at high mental health risk and had a high intention to leave the job warrant attention and policy interventions.

BACKGROUND: Immunization is a crucial preventive measure to safeguard children under five years old against a range of diseases. In China, the coverage rate of non-National Immunization Program (non-NIP) vaccines can be improved by leveraging the recommendation from public health workers. Hence, understanding the influencing factors of recommendation behaviors assume paramount importance. This study aims to investigate influencing factors of public health workers\' recommendation behaviors towards non-NIP vaccines, with a particular emphasis on financial incentives.
METHODS: A cross-sectional survey was conducted using a multi-stage sampling method in 2019 from August to October. 627 public health workers were recruited from 148 community healthcare centers in ten provincial-level administrative divisions in China. An anonymous questionnaire was used to collect demographic information, attitudes towards vaccination, and recommendation behaviors towards non-NIP vaccines, including Haemophilus influenzae type b (Hib) vaccine, pneumococcal conjugate vaccine, varicella vaccine, and rotavirus vaccine. Descriptive analysis and multivariate logistic regression analysis were adopted in this study.
RESULTS: Of the 610 public health workers with complete survey data, 53.8%, 57.4%, 84.1%, and 54.1% often recommended Hib vaccine, pneumococcal pneumonia vaccine (PCV), varicella vaccine, and rotavirus vaccine, respectively. Logistic regression revealed that gender (Hib vaccine: OR = 0.4, 95% CI: 0.2-0.8; PCV: OR = 0.4, 95% CI: 0.2-0.8; rotavirus vaccine: OR = 0.3, 95% CI: 0.2-0.6), financial incentives for non-NIP vaccination (Hib vaccine: OR = 1.9, 95% CI: 1.1-3.6; PCV: OR = 2.1, 95% CI: 1.1-3.9; rotavirus vaccine: OR = 2.0, 95% CI: 1.1-3.8) and perception of vaccine safety (Hib vaccine: OR = 2.7, 95% CI: 1.1-7.0; PCV: OR = 3.2, 95% CI: 1.2-8.0; rotavirus vaccine: OR = 3.0, 95% CI: 1.2-7.7) were associated with public health workers\' recommendation towards Hib vaccine, PCV and rotavirus vaccine.
CONCLUSIONS: The findings highlighted public health workers\' recommendation behaviors of non-NIP vaccines in China and revealed strong association between vaccine recommendation and financial incentives. This highlights the importance of financial incentives in public health workers\' recommendation toward non-NIP vaccines in China. Proper incentives are recommended for public health workers to encourage effective health promotion in immunization practices.

UNASSIGNED: Public health workers (PHWs) were listed as a priority group recommended for influenza vaccination during the coronavirus disease 2019 (COVID-19) pandemic. Understanding the drivers of influenza vaccine hesitancy among PHWs can promote influenza vaccination in the COVID-19 pandemic.
UNASSIGNED: The study found that 10.7% of PHWs were hesitant to get an influenza vaccination. Drivers associated with vaccine hesitancy were assessed based on \"3Cs model.\" The absence of a government or workplace requirement and concerns about vaccine safety were the biggest obstacles for PHWs to recommend influenza vaccination.
UNASSIGNED: Interventions are needed to improve PHWs\' influenza vaccine coverage to prevent the co-circulation of influenza and COVID-19.

Effective solutions that meet the diverse community health needs of older adult populations are of critical importance. To address these needs, a nationwide community connector team-tasked with providing referral support to older adult populations and completing an asset mapping resource inventory initiative centered around the needs of older adult populations-was developed in Taiwan. The purpose of this qualitative study was to explore community connectors\' experiences and challenges.
Community connectors (n = 26) across four diverse sites participated in focus group interviews in July 2020. Interviews explored the challenges community connectors encountered in their roles; the strategies used to address these challenges; the asset mapping process; and on how they conceptualized their roles. Qualitative content analysis was applied.
Three themes were uncovered: developing community ties, cross-organization interactions and professional conflicts. The findings show that community connectors face hurdles in uncovering community resources and that they experience considerable professional instability. The findings also shed light on the day-to-day approaches used to navigate on-the-job challenges and the steps taken to develop community partnerships.
The experiences of community connectors provide important insights and can serve to illuminate the development of similar initiatives that seek to use community connectors for community health related purposes.

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Background: Public health workers are essential to responding to the coronavirus disease 2019 (COVID-19) epidemic, but research on anxiety and stress among public health workers during the epidemic is limited. This study aimed to evaluate related factors affecting mental health among public health workers during the epidemic. Methods: Between February 19 and 25, 2020, an online, cross-sectional study was conducted among public health workers in a city in China. Mental health status was assessed using the Chinese versions of the Generalized Anxiety Disorder-7 (GAD-7) scale and Patient Health Questionnaire-9 (PHQ-9), both with a cutoff score of 5. Work-related variables, workloads and sacrifices, and personal perceptions were also assessed. Results: The prevalence of anxiety and depression were 49.2% and 45.7%, respectively, among public health workers. Three risk factors and one protective factor, namely, overcommitment (OR = 1.10∼1.20, p < 0.001), perceived troubles at work (OR = 1.14∼1.18, p < 0.001), perceived tension (OR = 1.11, p < 0.001) and the capability to persist for more than 1 month at the current work intensity (OR = 0.41∼0.42, p < 0.001) were found to be independently associated with anxiety and depression in the multivariable logistic regression analyses after propensity score matching. But the Bayesian networks analysis found that the last three factors directly affect anxiety and depression. Conclusion: Psychological responses to COVID-19 were dramatic among public health workers during the severe phase of the outbreak. To minimize the impact of the epidemic, working conditions should be improved, and easily accessible psychological support services should be implemented.

Background: Despite being the first Indian state with a dedicated Non-Communicable Disease (NCD) program, glycemic control among a large proportion of patients is low in Kerala. This study tries to find evidence for a standardized non-pharmacological strategy delivered through Junior Public Health Nurses (JPHNs) in achieving and maintaining glycemic control among diabetic patients registered with NCD clinics of primary health care settings. Design: A cluster randomized controlled trial was conducted among adult patients with Diabetes Mellitus attending NCD clinics of primary care settings of South Kerala, India. JPHNs of the intervention group received additional module-based training while standard management continued in the control group. Sequence generation was done by random permuted blocks method and a cluster of 12 patients was selected from each of the 11 settings by computer-generated random numbers. Patients were followed up for 6 months with monthly monitoring of Fasting Blood Sugar (FBS), Post-Prandial Blood Sugar (PPBS), blood pressure, Body Mass Index (BMI), and health-related behaviors. Knowledge and skills/practice of JPHNs were also evaluated. Analysis of Covariance was done to study the final outcome adjusting for the baseline values and a model for glycemic control was predicted using multilevel modeling. Results: We analyzed 72 participants in the intervention group and 60 participants in the control group according to the intention-to-treat principle. The intervention was associated with a significant reduction in FBS (p < 0.001) and PPBS (p < 0.001) adjusting for the baseline values. The achievement of glycemic control was 1.5 (95% CI: 1.05-2.3) times better with intervention and they showed a better trend of maintenance of glycemic control (FBS, p = 0.003 and PPBS, p = 0.039). Adjusting for clustering and the baseline values, the intervention showed a significant effect on FBS (B = -3.1, SE = 0.57; p < 0.001) and PPBS (B = -0.81, SE = 0.3; p < 0.001) with time. Drug adherence score (p < 0.001), hours of physical activity (p < 0.001), BMI (p = 0.002), fruit intake (p = 0.004), and green leafy vegetable intake (p = 0.01) were the major predictors of FBS control. The practice/skills score of the JPHNs significantly improved with intervention (p < 0.001) adjusting for baseline values. Conclusion: A well-designed health worker intervention package incorporated into the existing health system can translate into attitude change and skill development in the health workers which can reflect in the improvement of glycemic control among the patients. Trial registration: [URL: http://www.ctri.nic.in], identifier [CTRI/2017/11/010622].

OBJECTIVE: The aim of this study is to address the difficulties encountered by public health workers in the early and middle stages of their efforts to combat COVID-19, compare the gaps among different types of institutions, and identify shortcomings in epidemic control.
METHODS: Using multi-stage sampling, a survey of public health workers involved in the prevention and control of COVID-19 was conducted from 18 February to 1 March 2020 through a self-administered questionnaire. These public health workers were from the primary health care center (defined as \"primary-urban\" and \"primary-rural\" for those in urban and rural areas, respectively) and the center for disease control and prevention (defined as \"non-primary\") in five provinces including Hubei, Guangdong, Sichuan, Jiangsu and Gansu, China.
RESULTS: A total of 9,475 public health workers were surveyed, of which 40.0 %, 27.0 % and 33.0 % were from the primary-rural, primary-urban and non-primary, respectively. The resources shortage were reported by 27.9 % participants, with the primary-rural being the worst affected (OR = 1.201, 95 %CI: 1.073-1.345). The difficulties in data processing were reported by 31.5 % participants, with no significant differences among institutions. The difficulties in communication and coordination were reported by 29.8 % participants, with the non-primary being the most serious (primary-rural: OR = 0.520, 95 %CI: 0.446-0.606; primary-urban: OR = 0.533, 95 %CI: 0.454-0.625). The difficulties with target audiences were reported by 20.2 % participants, with the primary-urban being the worst (OR = 1.368, 95 %CI: 1.199-1.560). The psychological distress were reported by 48.8 % participants, with no significant differences among institutions.
CONCLUSIONS: Psychological distress is the most serious problem in the prevention and control of COVID-19. Resources shortage in primary-rural, difficulties in communication and coordination in non-primary, and difficulties with target audiences in the primary-urban deserve attention. This study will provide scientific evidences for improving the national public health emergency management system, especially for reducing the urban-rural differences in emergency response capacity.

Background: The COVID-19 outbreak in China has created multiple stressors that threaten individuals\' mental health, especially among public health workers (PHW) who are devoted to COVID-19 control and prevention work. This study aimed to investigate the prevalence of mental help-seeking and associated factors among PHW using Andersen\'s Behavioral Model of Health Services Use (BMHSU). Methods: A cross-sectional survey was conducted among 9,475 PHW in five provinces across China between February 18 and March 1, 2020. The subsample data of those who reported probable mental health problems were analyzed for this report (n = 3,417). Logistic and hierarchical regression analyses were conducted to examine the associations of predisposing, enabling, need, and COVID-19 contextual factors with mental health help-seeking. Results: Only 12.7% of PHW reported professional mental help-seeking during the COVID-19 outbreak. PHW who were older, had more days of overnight work, received psychological training, perceived a higher level of support from the society, had depression and anxiety were more likely to report mental help-seeking (ORm range: 1.02-1.73, all p < 0.05) while those worked in Centers for Disease Control and Prevention were less likely to seek help (ORm = 0.57, p < 0.01). The belief that mental health issues were not the priority (64.4%), lack of time (56.4%), and shortage of psychologists (32.7%) were the most frequently endorsed reasons for not seeking help. Conclusions: The application of BMHSU confirmed associations between some factors and PHW\'s mental health help-seeking. Effective interventions are warranted to promote mental health help-seeking of PHW to ameliorate the negative impact of mental illness and facilitate personal recovery and routine work.